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Alison E. Calentino; Nathan M. Hager; Elise M. Adams; Aline K. Szenczy; Lindsay Dickey; Autumn Kujawa; Greg Hajcak; Brady D. Nelson; Daniel N. Klein – Child Development, 2025
The late positive potential (LPP), an event-related potential reflecting affective processing, may exhibit developmental shifts in magnitude and scalp location. In the present longitudinal study, 501 youth (47.3% female; 89.4% White; 12.0% Hispanic) completed the emotion interrupt task to elicit the LPP to neutral, positive, and negative images at…
Descriptors: Cognitive Processes, Brain Hemisphere Functions, Children, Adolescents
Thiago F. A. França; Sabine Pompeia – International Journal of Behavioral Development, 2025
Adolescent risky behaviors are often interpreted as products of self-control failures stemming from a developmental mismatch between reward processing and cognitive control systems. However, adolescents -- much like adults -- may also engage in risky behaviors because of conscious and deliberate (even if objectively poor) decisions. It is not easy…
Descriptors: Adolescents, Adolescent Development, Risk, Risk Management
Iris Menu; Lanxin Ji; Tanya Bhatia; Mark Duffy; Cassandra L. Hendrix; Moriah E. Thomason – Child Development, 2025
Preterm birth poses a major public health challenge, with significant and heterogeneous developmental impacts. Latent profile analysis was applied to the National Institutes of Health Toolbox performance of 1891 healthy prematurely born children from the Adolescent Brain and Cognitive Development study (970 boys, 921 girls; 10.00 ± 0.61 years;…
Descriptors: Child Development, Premature Infants, Cognitive Development, Scores
Jewoong Moon; Fengfeng Ke; Zlatko Sokolikj – Technology, Knowledge and Learning, 2025
In this exploratory study, we designed and validated game-based performance tasks to assess the development of representational flexibility in autistic adolescents through virtual reality (VR)-based training. Representational flexibility, a critical cognitive ability, involves attention switching, generating representations, and recognizing…
Descriptors: Game Based Learning, Educational Games, Performance, Task Analysis
Alexander Skulmowski – Mind, Brain, and Education, 2025
Generative artificial intelligence (AI) has become a major research trend in the fields of education and psychology. However, several risks posed by this technology concerning the cognitive and socio-emotional development of children and adolescents have been identified. While it would be highly useful to have a clear understanding of these…
Descriptors: Artificial Intelligence, Educational Research, Informed Consent, Risk
Eadaoin J. Slattery; Paula Lehane; Deirdre Butler; Michael O'Leary; Kevin Marshall – Review of Education, 2025
Minecraft is a popular digital game-based learning (DGBL) tool used in learning environments around the world. With increasing emphasis on evidence-informed practice and policymaking in educational systems, this paper systematically reviews the evidence base behind the use of Minecraft in improving academic, cognitive, motivational-affective and…
Descriptors: Game Based Learning, Computer Games, Educational Games, Children